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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. CommandCohereRemove
  2. Qwen3.8 27BAlibabaRemove
  3. GPT-6 Astra ProOpenAIRemove
command vs qwen3.8-27b vs gpt-6-astra-pro
AttributeCommandcommandQwen3.8 27Bqwen3.8-27bGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$0.95 / 1M$0.45 / 1M$10.00 / 1M
Output$1.90 / 1M$3.20 / 1M$50.00 / 1M
Cache Write (5m)$0.95 / 1M$0.45 / 1M$10.00 / 1M
Cache Write (1h)$0.95 / 1M$0.45 / 1M$10.00 / 1M
Cache Read$0.95 / 1M$0.45 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context4.1K262K1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderCohereAlibabaOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryQwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.